Variance analysis involves comparing actual results (actual values) with planned or expected values (target values). These comparisons help identify deviations, assess performance, and implement potential improvement measures.
Typical Functions of Software in the Field of "Variance Analysis":
Data Integration: Integration of data from various sources such as ERP systems, financial accounting, or production systems to capture comprehensive actual data.
Automatic Calculation: Automatic calculation of deviations between target and actual values in various areas such as finance, production, sales, or personnel.
Visualization: Graphical representation of variance analyses using charts, tables, and dashboards to make deviations easily identifiable.
Report Generation: Creation of detailed reports on deviations, their causes, and possible impacts.
Alert Functions: Setting up notifications and alert systems that automatically send alerts to responsible parties in case of significant deviations.
Trend Analysis: Analysis of trends over different periods to identify recurring deviations and long-term developments.
Planning Adjustment: Ability to adjust plans and budgets based on the results of variance analyses.
Benchmarking: Comparing actual values with industry benchmarks or best practices to evaluate own performance.
Examples of Variance Analyses: